This hemoglobin, designated "I", migrated more rapidly than normal hemoglobin on filter-paper electrophoresis at pH 8.6, and constituted about 20 per cent of the total hemoglobin present.

Additionally, a novel method using deep learning for the automated assessment of hemoglobin electrophoresis images has shown promising results, achieving high accuracy in detecting thalassemia[5].

Hemoglobin A1c is used clinically as a biomarker for the diagnosis and management of diabetes mellitus. Various methods are available to measure HbA1c and each has advantages and limitations. The ...